A software tool for intelligent CVA diagnosis by cerebral computerized tomography

The final goal of this work is to create an intelligent support system which assists neuroradiologists to identify Cerebral Vascular Accidents in less time, more precisely. For this purpose, the first step was the creation of a web based tool for registering pathological areas in CT images, which wi...

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Bibliographic Details
Published in2013 IEEE 8th International Symposium on Intelligent Signal Processing pp. 103 - 108
Main Authors Hajimani, Elmira, Ruano, Carina A., Graca Ruano, M., Ruano, Antonio E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
Brain
Cerebral Vascular Accident
Computed tomography
DICOM
Feature extraction
Image processing
Image segmentation
Intelligent Support Systems
Lesions
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Summary:The final goal of this work is to create an intelligent support system which assists neuroradiologists to identify Cerebral Vascular Accidents in less time, more precisely. For this purpose, the first step was the creation of a web based tool for registering pathological areas in CT images, which will allow to collect required data for training and testing our proposed classifier, a Radial Basis Function (RBF) based Neural Network.
DOI:10.1109/WISP.2013.6657491